Data Do Not Speak for Themselves : Interpretation and Model Selection in Unsupervised Automated Content Analysis

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http://hdl.handle.net/10138/336532

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Pääkkönen , J 2021 , Data Do Not Speak for Themselves : Interpretation and Model Selection in Unsupervised Automated Content Analysis . in A Licastro & B Miller (eds) , Composition and Big Data . Pittsburgh Series in Composition, Literacy, and Culture , University of Pittsburgh press .

Title: Data Do Not Speak for Themselves : Interpretation and Model Selection in Unsupervised Automated Content Analysis
Author: Pääkkönen, Juho
Other contributor: Licastro, Amanda
Miller, Benjamin
Contributor organization: Academic Disciplines of the Faculty of Social Sciences
Publisher: University of Pittsburgh press
Date: 2021-11-02
Language: eng
Belongs to series: Composition and Big Data
Belongs to series: Pittsburgh Series in Composition, Literacy, and Culture
ISBN: 9780822946748
URI: http://hdl.handle.net/10138/336532
Subject: 5141 Sociology
113 Computer and information sciences
Peer reviewed: Yes
Rights: cc_by_nc_nd
Usage restriction: openAccess
Self-archived version: acceptedVersion


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